Loc: Trivandrum,Kochi,Bangalore,Chennai

Exp : 5-7 Years

Notice Period : Immediate - 30 days

Job Description

UST Global® is seeking a highly skilled Data Scientist with expertise in Python and Data Science/ML to join our team. This role focuses on developing, testing, and deploying machine learning models, data analytics solutions, and leveraging cutting-edge technologies to drive data-driven decision-making. Strong communication skills are essential for collaborating with both technical teams and business stakeholders.

Responsibilities

Design, develop, and deploy scalable machine learning models and advanced analytics solutions.

Implement data processing workflows using tools like PySpark and GCP services such as Vertex AI, BigQuery, and DataProc.

Perform data exploration, feature engineering, and model evaluation to ensure optimal performance and accuracy.

Write clean, maintainable, and efficient code in Python to process and analyze large datasets.

Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights.

Develop and maintain APIs using FastAPI to integrate machine learning models into production environments.

Ensure data quality and consistency through rigorous validation and monitoring processes.

Troubleshoot and resolve performance issues in data processing and machine learning workflows.

Stay updated on the latest trends and advancements in data science, machine learning, and big data technologies.

Skills and Qualifications

Mandatory Skills:

Proven experience as a Data Scientist, preferably in a big data environment.

Strong expertise in Python and hands-on experience in Data Science/ML workflows.

Proficiency in PySpark for distributed data processing.

Experience with GCP services, including Vertex AI, BigQuery, GCS, and DataProc.

Solid understanding of machine learning concepts, algorithms, and best practices.

Other Skills:

Proficiency in tools like Hive, Spark, and Apache Hudi for big data processing and storage.

Familiarity with data visualization tools and techniques.

Experience in API development with FastAPI or similar frameworks.

Strong problem-solving skills and the ability to work with large, complex datasets in a fast-paced environment.

Solid knowledge of data warehousing concepts, data modeling, and schema design.

Excellent communication and interpersonal skills to collaborate effectively with diverse teams and stakeholders.